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Hello, I'm Dibyendu.

"I do research at S.N.B.N.C.B.S.
Codes and molecules are the things that essentially entertain me."

Specializing in MD Simulations, Free Energy Calculations, and ML/DL Models.

Dibyendu Maity - Research Scholar

About Me

I'm a Senior Research Fellow at S.N. Bose National Centre for Basic Sciences (S.N.B.N.C.B.S.). Currently doing my Ph.D. under the supervision of Dr. Suman Chakrabarty in the Department of Chemical and Biological Sciences.

I've been pretty interested in advanced and enhanced simulation techniques to calculate free energy of reactions as well as various order parameters to capture structure ordering of mostly water molecules under different circumstances.

Research Interests

MD Simulation Free Energy Calculations ML/DL Models Water Molecule Structure

Academic Journey

Present

Ph.D. Research Scholar

S.N.B.N.C.B.S., Kolkata

2019 - 2021

Master of Science, Physics

S.N.B.N.C.B.S., Kolkata

2016 - 2019

Bachelor of Science, Physics

Midnapore College (Autonomous), Midnapore

2014 - 2016

Higher Secondary School

Ananda Nagar Srinath Vidyapith, Anikola

Research & Projects

Weighted Ensemble & Path-Resolved Kinetics

Developing path-resolved frameworks for weighted ensemble (WE) simulations to efficiently extract kinetic observables from rare-event dynamics.

Nucleation & Structural Ordering

Studying nucleation kinetics and structural ordering in clathrate hydrates and ice. Investigating methane hydrate growth in the presence of alcohols and osmolytes using Steinhardt order parameters and enhanced sampling techniques.

IceCoder — ML for Phase Classification

Developed IceCoder, a Variational Autoencoder framework for automated identification and classification of ice polymorphs directly from molecular simulation trajectories. Published in J. Chem. Theory Comput. (2025).

PathGennie — Enhanced Sampling

Created PathGennie, a direction-guided adaptive sampling algorithm for rapid generation of rare-event pathways using ultrashort monitored trajectories. Published in J. Chem. Theory Comput. (2025).

Solvation Free Energy Prediction

Comparative analysis of molecular representations and machine learning methods for transferable prediction of solvation free energy. Investigating how to build accurate yet efficient implicit solvent models.

Self-Assembled Luminescent Nanotubes

Computational study of efficient light harvesting in self-assembled organic luminescent nanotubes, combining MD simulations with experimental characterization. Published in Chemical Science (2023).

Publications

Total citations: 24 • h-index: 3 • Google Scholar

2025 • JCTC • 4

IceCoder: Identification of Ice Phases in Molecular Simulation Using Variational Autoencoder

D Maity, S Chakrabarty — J. Chem. Theory Comput., 2025

2023 • Chem. Sci. • 16

Efficient Light Harvesting in Self-Assembled Organic Luminescent Nanotubes

SK Bhaumik, D Maity, I Basu, S Chakrabarty, S Banerjee — Chemical Science, 2023

2022 • Phys. Rev. E • 3

Dimer-Parity-Dependent Odd-Even Effects in Photoinduced Transitions to Cholesteric and TGB Smectic-C* Mesophases

R Sahoo, D Maity, DS Shankar Rao, S Chakrabarty, CV Yelamaggad, SK Prasad — Physical Review E, 2022

Skills & Recognition

Simulation

GROMACS • OpenMM • PLUMED • Metadynamics • FEP / TI / MBAR

Machine Learning

PyTorch • PointNet • Graph Neural Networks • scikit-learn • Phase classification

Programming

Python • C/C++ • Bash • NumPy • MDAnalysis • SciPy • SLURM / HPC

Fellowships

Senior Research Fellowship (SRF) • Junior Research Fellowship (JRF), Govt. of India

Curriculum
Vitae

A complete record of my academic background, research experience, publications, and technical skills as a Senior Research Fellow at S.N.B.N.C.B.S.

5+
Years Research
6
Publications
6
Projects
M.Sc.
Physics
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